welltheory - Clinical Research Scientist

• Study design and analysis • Design and run observational studies on member data, including matched cohorts, pre/post analyses, propensity-scored comparisons, and interrupted time series • Analyze medical and pharmacy claims, covering utilization, biologic and biosimilar trends, and cost of care • Write statistical analysis plans and do the hands-on analysis in Python, R, or SQL, partnering with our data team for scale • Publication and scientific presence • Publish as first or senior author in journals read by clinicians, payers, and digital health peers • Present at meetings such as ACR, DDW, AAD, and AMCP • Lead outside collaborations with health plans, employers, and academic partners as WellTheory’s principal investigator, including protocols and IRB submissions • Manage all regulatory requirements for our studies, including IRB review • Turning evidence into impact • Work with care and product teams to turn findings into updated protocols and a more personalized member experience • Shape how we capture structured data (symptoms, adherence, biomarkers, PROs) so future studies are stronger • Help define our autoimmune population and cohort logic • Create white papers and one-pagers that commercial and partnership teams can use with prospects • Serve as our scientific voice in health plan clinical reviews and payer conversations • YOU MIGHT BE A GREAT FIT IF YOU... • A PhD or equivalent research doctorate in epidemiology, health services research, outcomes research, biostatistics, public health, nutrition science, or a related field. Exceptional MS/MPH candidates with deep industry experience and a strong publication record are welcome. • Experience applying real-world evidence methods (propensity score matching, difference-in-differences, interrupted time series) to claims data such as MarketScan, Optum, or HealthVerity • Industry experience in digital health, a payer, or life sciences, or a clear track record of applied, decision-oriented research • Fluency in Python, R, or SQL • A pragmatic view of evidence: you know when an RCT is the right tool and when it isn’t, and you can build rigor from the data available • Familiarity with how evidence is used commercially, such as employer RFPs and health plan clinical reviews • Comfort being the sole domain expert, saying “I don’t know yet, but here’s how we’ll find out,” and working across clinical, product, and data teams • This position requires current work authorization in the United States. We are unable to provide visa sponsorship at this time.